Summary
htmLLM-124M v2 is a new 124M parameter model, built using nanoGPT, specifically designed for high-fidelity HTML/Bootstrap autocompletion. This specialized model achieved a validation loss of 0.91, demonstrating a significant improvement in understanding complex HTML grid systems and script dependency chains compared to its previous version. It offers enhanced structural logic for web development tasks.
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